thenlpresearcher/final_llama_sequence_classification

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finalllamasequence_classification

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3186
• —Pearson: 0.9547

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0001
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.45.2
• —Pytorch 2.4.0a0+f70bd71a48.nv24.06
• —Datasets 3.2.0
• —Tokenizers 0.20.3